AI & ML
Linear-time erasure recovery for quantum expander codes
arXiv math.IT0 views
arXiv:2611.06818v1 Announce Type: cross Abstract: Erasures are used to model faults at a subset of known locations in various platforms used to construct fault-tolerant quantum computers. Beyond the utility in erasure recovery, efficient decoders for erasures are useful to both understand error decoders and as a subroutine for error decoding. Classical expander codes, which belong to the family of low-density parity-check (LDPC) codes, can be equipped with the Peeling decoder which works in linear time. Our main result is the algorithm Small-Set-Peeling, a quantum generalization of the classical Peeling decoder for erasures, that applies to quantum expander codes (Tillich, Z\'emor, IEEE T-IT 2013; Leverrier, Tillich, Z\'emor, FOCS 2015). This decoder can correct up to $D-1$ erasures, where $D$ is the (design) distance of the code and, importantly, is the first decoder that is guaranteed to do so in linear time. Combining with the erasure-conversion algorithm Small-Set-Find (Krishna, Livni-Navon, Wootters, SODA 2024), our result also implies the existence of a novel graph-local linear-time decoder for Pauli errors.
Source:https://arxiv.org/abs/2611.06818PreviousHow many sorted projections determine n points in k dimensions?NextRevisiting Shannon's Source Coding Theorem with Distributional Uncertainty under the Nonlinear Expectation Theory
Related posts
Meta Quest Promo Codes and Coupons for November 2026
0Wired
BullMQ in NestJS: Retries, Idempotency and Dead-Letter Queues
0dev.to
80.6% at Chores, 12% at Real Work: AI's Benchmark Week
0dev.to
Efficient estimation of regression models for recurrent events in presence of terminal events
0arXiv stat.CO
Local Whittle estimation for distributional time series: A regularization framework in Bayes Hilbert space
0arXiv stat.CO
Inventory and Assortment Optimization under General Choice: A Unified Approximation Framework
0arXiv stat.CO